Job Title: Associate Data Engineer
Job Type: Full-time
Experience Level: Fresher (1-4 Years)
About the Role:
We are looking for an enthusiastic and detail-oriented Associate Data Engineer to join our growing data team. If you are a recent graduate passionate about data and eager to build a career in data engineering, this is the perfect opportunity for you!
In this role, you will work closely with senior engineers to build, maintain, and optimize data pipelines. You will get hands-on experience with modern data infrastructure, transitioning your basic academic or project-level knowledge into production-grade skills. We focus heavily on mentorship, ensuring you have the support you need to grow as a professional.
Key Responsibilities:
- Pipeline Development: Assist in writing and maintaining ETL (Extract, Transform, Load) scripts to move data across various systems.
- Database Management: Write basic SQL queries, create tables, and interact with PostgreSQL databases to support data storage and retrieval.
- Data Orchestration: Help schedule, monitor, and troubleshoot automated data workflows using Apache Airflow.
- Stream Processing: Collaborate with the team to build and monitor real-time or near-real-time data streaming applications using Apache Flink.
- Coding & Debugging: Write clean, readable, and well-documented code in Python.
- Continuous Learning: Actively participate in code reviews, learn best practices from senior team members, and stay updated on the latest data engineering trends.
Must-Have Qualifications:
- Education: Bachelor’s or Master’s degree in Computer Science, IT, Data Science, Mathematics, or a related field (Recent graduates from batch [Year] are welcome).
- Python: Solid foundational knowledge of Python programming (data structures, loops, functions, basic libraries like Pandas).
- PostgreSQL (SQL): Basic understanding of relational databases, table design, and the ability to write standard SQL queries (SELECT, JOINs, GROUP BY).
- Apache Airflow: Theoretical understanding or project-level exposure to how Airflow works (DAGs, tasks, scheduling).
- Apache Flink: Basic conceptual knowledge of distributed data processing or stream processing using Flink.
- Soft Skills: Strong analytical thinking, problem-solving skills, and a genuine eagerness to learn and adapt to new technologies.
Good-to-Have (Bonus Points):
- Spatial Data: Knowledge of the PostGIS extension for PostgreSQL and a basic understanding of how to write geo/spatial queries.
- Version Control: Basic understanding of tools like Git/GitHub.
- Cloud Basics: Familiarity with cloud platforms (AWS, GCP, or Azure).
- OS: Comfortable with basic Linux/Unix command-line operations.
- Portfolio: Any personal or academic projects showcasing data pipelines or data processing.
Black Box Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Black Box and has not been reviewed or approved by Black Box.
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Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical and prescription drug coverage plus dental and vision plan options. Life and disability protections are also included, along with EAP and emergency travel assistance.
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Leave & Time Off Breadth — Time-off offerings are described as broad, including paid time off, company holidays, floating holidays, and multiple leave types such as jury duty and bereavement leave. Paid time off and benefits are also characterized as “good” in at least one recent account.
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Retirement Support — Retirement and tax-advantaged savings options include a 401(k), FSAs, and an HSA with company contributions. A company match is also cited in one instance, suggesting some employer support for retirement saving.
Black Box Insights
What We Do
Black Box is a global digital infrastructure integrator delivering network and system integration services and solutions, support services, and technology products to businesses in the United States, Europe, India, Asia Pacific, the Middle East, and Latin America and has around 4,000 professionals globally. Black Box has strong service offerings in network integration, digital connectivity infrastructure, data center build-out, modern workplace, and cybersecurity for businesses across various industries including financial services, technology, healthcare, retail, public services like airports; manufacturing, and other sectors.
